segments-ai | Segments.ai Python SDK | Data Labeling library

by segments-ai Python Version: 1.8.2 License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | segments-ai Summary

segments-ai is a Python library typically used in Artificial Intelligence, Data Labeling applications. segments-ai has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install segments-ai' or download it from GitHub, PyPI.

Segments.ai is the training data platform for computer vision engineers and labeling teams. Our powerful labeling interfaces, easy-to-use management features, and extensive API integrations help you iterate quickly between data labeling, model training and failure case discovery.

Support

Quality

Security

License

Reuse

Support

segments-ai has a low active ecosystem.

It has 16 star(s) with 7 fork(s). There are 6 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 3 open issues and 13 have been closed. On average issues are closed in 15 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of segments-ai is 1.8.2

Quality

segments-ai has no bugs reported.

Security

segments-ai has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

segments-ai is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

segments-ai releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are available. Examples and code snippets are not available.

Top functions reviewed by kandi - BETA

kandi has reviewed segments-ai and discovered the below as its top functions. This is intended to give you an instant insight into segments-ai implemented functionality, and help decide if they suit your requirements.

Loads the dataset
Load segmentation bitmap from cache
Handle EXIF tags
The number of samples
Get a single item from the dataset
Load image from cache
Convert a release to a dataset
Load an image
Generate a markdown table
Load label bitmap from URL
Add samples to a dataset
Generic POST method
Get the authentication header
Return the color of a given category
Return a random color
Convert a NDArray to a NDArray
Read requirements from requirements file

Get all kandi verified functions for this library.

segments-ai Key Features

No Key Features are available at this moment for segments-ai.

segments-ai Examples and Code Snippets

No Code Snippets are available at this moment for segments-ai.

Community Discussions

Trending Discussions on Data Labeling

How can I do this split process in Python?

Replacing a character with a space and dividing the string into two words in R

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

QUESTION

How can I do this split process in Python?

Asked 2021-Dec-30 at 14:06

I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

What I've done so far is make this representation with the same enumerator class.

A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

...

ANSWER

Answered 2021-Dec-30 at 13:57

Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

Source https://stackoverflow.com/questions/70532286

QUESTION

Replacing a character with a space and dividing the string into two words in R

Asked 2020-Nov-18 at 07:32

I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

i have this:

...

ANSWER

Answered 2020-Nov-16 at 07:24

Try something like:

Source https://stackoverflow.com/questions/64853962

QUESTION

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

Asked 2020-Oct-28 at 20:31

Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

...

ANSWER

Answered 2020-Oct-27 at 22:39

Is the data behind virtual network by any chance?

Source https://stackoverflow.com/questions/64546521

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install segments-ai

Walk through the Python SDK quickstart.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: